Name: Datadog Measure AI Coding Tool Impact
Brand: Datadog

Feature Overview

Datadog AI Impact gives engineering leaders a clear view of how AI coding assistants are affecting software delivery across their organization. By comparing AI-assisted and non-AI work on PR throughput, cycle time, change failure rate, and recovery time, AI Impact helps you measure the real productivity gains from AI, surface where reviews or reliability are slipping, and pick the tools and models that deliver the best return. Slice and dice the data by team, repo, service, or language to prove ROI on every dollar of AI tooling spend.

Get a clear picture of AI adoption across your org

Detect AI-assisted PRs automatically without custom instrumentation, capturing every coding assistant in use including Claude Code, Cursor, and GitHub Copilot
Break down adoption by tool to see which assistants your teams are actually using and at what volume
Track adoption trends over time to see where your organization sits on its AI migration curve

Connect AI usage to delivery and stability outcomes

Quantify productivity gains by comparing PR throughput and cycle time between AI-assisted and non-AI work
Pinpoint where AI is shifting bottlenecks by breaking PR cycle time into time to PR ready, review time, and merge time
Balance speed with quality by tracking change failure rate and recovery time on AI-assisted code
Drill into impact by team, language, repo, service, or any tag in your software catalog to find where AI is helping and where it is hurting

Pick the tools and models that deliver the best ROI

Compare coding assistants head to head on adoption, throughput, cycle time, change failure rate, and daily cost per active user
Test new models safely with before-and-after analysis to confirm a rollout actually moves the metrics that matter
Compare custom cohorts of teams or business units to understand how AI impact varies across your organization
Defend AI budgets to leadership with hard delivery numbers tied to spend, not just usage telemetry like daily active users or acceptance rates